Erik,
Your example was just what I needed to generate the data -- many, many
thanks! The names() function was something I had not grasped fully. I now
have this and it works very nicely:
var_list <- c("HEQUAL", "EWEALTH", "ERADEQ", "HREVDIS1", "EDISCRIM",
"HREVDIS2")
mdf <- data.frame(replicate(length(var_list), sample(7,100, replace =
TRUE))) ## generate random data
names(mdf) ## default names
names(mdf) <- var_list ## use our names
mdf
I'm still trying to figure out how to recode (using the car package) data
into new variables using a similar loop. Basically, I'm not sure how to call
the variable name and append it to the dataframe name in a loop. In Stata
I'd do this using single quotes, but clearly that's not how R works. I
tried several variations on this:
reverse_me_varnames <- c("HEQUAL", "HREVDIS1", "HREVDIS2")
reversed_varnames <- c("RHEQUAL", "RHREVDIS1", "RHREVDIS2")
for(i in 1:length(reverse_me_varnames))
{mdf$reversed_varnames[i] <- recode(mdf$reverse_me_varnames[i], '5:7=NA;
1=4; 2=3; 3=2; 4=1;', as.factor.result=FALSE)
While I don't get an error message, the data don't change. Any advice on
reverse coding non-continguous variables?
On Mon, May 19, 2008 at 4:12 PM, Donald Braman <[EMAIL PROTECTED]>
wrote:
> Many thanks --
>
> You are right; I had rnorm() and sample() mixed up in my code. I'll work on
> generating a normal ordinal sample next.
>
> Cheers, Don
>
>
> On Mon, May 19, 2008 at 4:07 PM, Erik Iverson <[EMAIL PROTECTED]>
> wrote:
>
>> Hello -
>>
>> Donald Braman wrote:
>>
>>> # I'm new to R and am trying to get the hang of how it handles
>>> # dataframes & loops. If anyone can help me with some simple tasks,
>>> # I'd be much obliged.
>>>
>>> # First, i'd like to generate some random data in a dataframe
>>> # to efficiently illustrate what I'm up to.
>>> # let's say I have six variables as listed below (I really
>>> # have hundreds, but a few will illustrate the point).
>>> # I want to generate my dataframe (mdf)
>>> # with the 6 variables X 100 values with rnorm(7).
>>> # How do I do this? I tried many variations on the following:
>>>
>>> var_list <- c("HEQUAL", "EWEALTH", "ERADEQ", "HREVDIS1", "EDISCRIM",
>>> "HREVDIS2")
>>> for(i in 1:length(var_list)) {var_list[1] <- rnorm(100)}
>>> mdf <- data.frame(cbind(varlist[1:length(var_list)])
>>> mdf
>>>
>>> There are many ways to do this. Do you mean that you want 6 columns, 100
>> observations in each column, each a sample from a normal distribution with
>> mean = 7 and sd = 1? You can do this without looping in one of several
>> ways. If you are coming from a SAS environment (my guess since you talk of
>> looping over data.frames), you may be used to looping through a data object.
>> In R, you can usually avoid this since many functions are vectorized, or
>> take a 'whole object' approach.
>>
>> var_list <- c("HEQUAL", "EWEALTH", "ERADEQ", "HREVDIS1", "EDISCRIM",
>> "HREVDIS2")
>>
>> mdf <- data.frame(replicate(6, rnorm(100, 7))) ## generate random data
>> names(mdf) ## default names
>> names(mdf) <- var_list ## use our names
>>
>>
>>> # Then, I'd like to recode the variables that begin with the letter "H".
>>> # I've tried many variations of the following, but to no avail:
>>>
>>> reverse_list <- c("HEQUAL", "HREVDIS1", "HREVDIS2")
>>> reversed_list <- c("RHEQUAL", "RHREVDIS1", "RHREVDIS2")
>>> for(i in 1:length(reverse_list))
>>> {mdf[ ,e_reversed_list][[i]] <- recode(mdf[ ,e_reverse_list][[i]],
>>> '5:99=NA; 1=4; 2=3; 3=2; 4=1; ', as.factor.result=FALSE)
>>>
>>>
>> I'm not quite sure what you are after here. What do you mean by recode?
>> What package is your 'recode' function located in?
>>
>> It appears that you may be under the impression that the data.frame
>> contains integers, but certainly it will not since it was generated with
>> rnorm? sample can generate a samples of the type you may be after, for
>> example,
>>
>> > sample(7, 100, replace = TRUE)
>>
>> Best,
>> Erik Iverson
>>
>
>
>
> --
> Donald Braman
> http://www.law.gwu.edu/Faculty/profile.aspx?id=10123
> http://research.yale.edu/culturalcognition
> http://ssrn.com/author=286206
>
--
Donald Braman
http://www.law.gwu.edu/Faculty/profile.aspx?id=10123
http://research.yale.edu/culturalcognition
http://ssrn.com/author=286206
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